Maximising Efficiency and Stability in Photovoltaic-Reverse Osmosis Desalination Systems through Data-Driven Optimisation and Advanced Control Strategies

Latvian Journal of Physics and Technical Sciences 2025
Ahmed Gamal Ezzeldin Mohamed Ibrahim Mowafy, Ingars Steiks

The integration of photovoltaic (PV) energy sources with reverse osmosis (RO) desalina- tion systems has gained considerable attention due to its potential to provide sustainable and environmentally friendly solutions for freshwater production. The novelty of this paper lies in using data science to generate the maximum optimisation in PV-RO systems. PV panels gen- erate electricity, which is used to power the RO process, converting saline water into potable water. However, the intermittent nature of solar energy poses a significant challenge for main- taining stable and efficient operations. This paper also examines a new control algorithm using Fuzzy Logic Type2 with Artificial Neural Network for PV-RO desalination systems without the use of batteries.

Atslēgas vārdi
Energy storage, desalination systems, fuzzy-logic, MPPT, PV, reverse osmosis
DOI
10.2478/lpts-2025-0016
Hipersaite
https://sciendo.com/article/10.2478/lpts-2025-0016

Mowafy, A., Steiks, I. Maximising Efficiency and Stability in Photovoltaic-Reverse Osmosis Desalination Systems through Data-Driven Optimisation and Advanced Control Strategies. Latvian Journal of Physics and Technical Sciences, 2025, Vol. 62, No. 2, 91.-104.lpp. ISSN 0868-8257. Pieejams: doi:10.2478/lpts-2025-0016

Publikācijas valoda
English (en)